Network usage detection and presentation

ABSTRACT

A method and system for improving network usage detection and presentation is provided. The method includes detecting and identifying a user accessing specified network content. Objects being viewed by the user via a network are detected and prior associations between the objects and the user are determined. Attributes of the objects with respect to the prior associations are determined and presented via a GUI.

FIELD

The present invention relates generally to a method for detectingnetwork usage and in particular to a method and associated system forimproving hardware and software based network technology associated withpresenting network based attributes for improving a network efficiencywith respect to network associated presentations.

BACKGROUND

Accurately enabling specified presentations for devices typicallyincludes an inaccurate process with little flexibility. Determiningpresentation solutions with respect to Web based information may includea complicated process that may be time consuming and require a largeamount of resources. Accordingly, there exists a need in the art toovercome at least some of the deficiencies and limitations describedherein above.

SUMMARY

A first aspect of the invention provides a network usage detection andpresentation improvement method comprising: detecting, by a processor ofa hardware device, a user accessing specified network content;identifying, by the processor, the user; detecting, by the processor,objects being viewed by the user via a network associated with thenetwork content; determining, by the processor accessing a database,prior associations between the objects and the user; determining, by theprocessor, attributes of the objects with respect to the priorassociations; and presenting, by the processor to the user via a GUI,the attributes.

A second aspect of the invention provides a computer program product,comprising a computer readable hardware storage device storing acomputer readable program code, the computer readable program codecomprising an algorithm that when executed by a processor of a hardwaredevice implements a network usage detection and presentation improvementmethod, the method comprising: detecting, by the processor, a useraccessing specified network content; identifying, by the processor, theuser; detecting, by the processor, objects being viewed by the user viaa network associated with the network content; determining, by theprocessor accessing a database, prior associations between the objectsand the user; determining, by the processor, attributes of the objectswith respect to the prior associations; and presenting, by the processorto the user via a GUI, the attributes.

A third aspect of the invention provides a hardware device comprising aprocessor coupled to a computer-readable memory unit, the memory unitcomprising instructions that when executed by the computer processorimplements a network usage detection and presentation improvement methodcomprising: detecting, by the processor, a user accessing specifiednetwork content; identifying, by the processor, the user; detecting, bythe processor, objects being viewed by the user via a network associatedwith the network content; determining, by the processor accessing adatabase, prior associations between the objects and the user;determining, by the processor, attributes of the objects with respect tothe prior associations; and presenting, by the processor to the user viaa GUI, the attributes.

The present invention advantageously provides a simple method andassociated system capable of accurately enabling specified presentationsfor devices.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates a system for improving network technology associatedwith presenting network based attributes for improving a networkefficiency with respect to network associated presentations, inaccordance with embodiments of the present invention.

FIG. 2 illustrates an algorithm detailing a process flow enabled by thesystem of FIG. 1 for improving network technology associated withpresenting network based attributes for improving a network efficiencywith respect to network associated presentations, in accordance withembodiments of the present invention.

FIG. 3 illustrates an implementation example enabling the system of FIG.1 for improving graphical user interface (GUI) technology associatedwith network presentations, in accordance with embodiments of thepresent invention.

FIG. 4 illustrates a computer system used by the system of FIG. 1 forimproving network technology associated with presenting network basedattributes for improving a network efficiency with respect to networkassociated presentations, in accordance with embodiments of the presentinvention.

FIG. 5 illustrates a cloud computing environment, in accordance withembodiments of the present invention.

FIG. 6 illustrates a set of functional abstraction layers provided bycloud computing environment, in accordance with embodiments of thepresent invention.

DETAILED DESCRIPTION

FIG. 1 illustrates a system 100 for improving network technologyassociated with presenting network based attributes for improving anetwork efficiency with respect to network associated presentations, inaccordance with embodiments of the present invention. System 100 isenabled analyze previous network activity and present associatedinformation with respect to the previous network activity. System 100enables the following functionality for generating information andtransmitting notifications with respect to the previous networkactivity:

In response to a Website access request, a first size and quantity of afirst product purchased (via a Web process) by a user is determined. Thefirst size and quantity is compared to a second size and a quantity of asecond product currently selected for purchase (via a Web process) bythe user. Results of the comparison indicate that a difference betweenthe first sized and quantity and the second size and quantity exceeds apredetermined threshold value. In response, a notification indicatingthat the difference exceeds the predetermined threshold value istransmitted to the user. Additionally, a recommended quantity and/or arecommended size of a specified product may be determined based on: anaverage rate of consumption of the specified product by the user, ashelf life of the specified product, a cost of the specified product ata given size or quantity, and/or an average time between visits of theuser to a venue that carries a type associated with the specifiedproduct.

System 100 of FIG. 1 includes a server system (or hardware system) 23,database systems 25, and external systems 27 connected through a network7 to a (mobile) hardware device 14. Hardware device 14 comprisessensors/circuitry/logic 12 and a (specialized) memory system 8 (and aspecialized GUI). Memory system 8 comprises software code 28. Memorysystem 8 may include a single memory system. Alternatively, memorysystem 8 may include a plurality of memory systems. Server system 23,database systems 25, and external systems 27, and hardware device 14each may comprise an embedded device. An embedded device is definedherein as a dedicated device or computer comprising a combination ofcomputer hardware and software (fixed in capability or programmable)specifically designed for executing a specialized function. Programmableembedded computers or devices may comprise specialized programminginterfaces. In one embodiment, server system 23, database systems 25,and external systems 27, and hardware device 14 may each comprise aspecialized hardware device comprising specialized (non-generic)hardware and circuitry (i.e., specialized discrete non-generic analog,digital, and logic based circuitry) for (independently or incombination) executing a process described with respect to FIGS. 1-6.The specialized discrete non-generic analog, digital, and logic basedcircuitry (e.g., sensors/circuitry/logic 12, sensors 18, sensors 19,etc.) may include proprietary specially designed components (e.g., aspecialized integrated circuit, such as for example an ApplicationSpecific Integrated Circuit (ASIC) designed for only implementing anautomated process for improving network technology associated withpresenting network based attributes for improving a network efficiencywith respect to network associated presentations.Sensors/circuitry/logic 12, sensors 18, and sensors 19 may include anytype of internal or external sensors including, inter alia, GPS sensors,Bluetooth beaconing sensors, cellular telephone detection sensors, Wi-Fipositioning detection sensors, triangulation detection sensors, activitytracking sensors, social network code based sensors, a heart ratemonitor, a blood pressure monitor, a temperature sensor, a pulse ratemonitor, an ultrasonic sensor, an optical sensor, a video retrievaldevice, humidity sensors, voltage sensors, network traffic sensors, etc.Network 7 may include any type of network including, inter alia, a localarea network, (LAN), a wide area network (WAN), the Internet, a wirelessnetwork, etc.

System 100 enables the following process for presenting comparativeinformation associated with past network activities:

The process is initiated when a user enables a Web process (via ahardware system) for accessing an e-commerce Website. In response, theuser is identified via, inter alia, any of the following identificationprocesses: an e-commerce Website credential identification process, asocial media account identification process associated with a currentlyaccessed Web browser, browser cookies, etc. Subsequently, the userbrowses the e-commerce Website for specified objects (e.g., products)and for each object detected, system 100 determines if the user hasaccessed (e.g., purchased) a similar object via a Web process or via avisit to a structure at a physical location (e.g., a store). If it isdetermined that the user accessed a similar object then a process forgenerating comparative information (associated with the object) isinitiated. Comparative information may include, inter alia, previouspricing, previous brands purchased, a previous weight, etc. For example,a first user typically purchases 2 pounds of chicken at a local grocerystore and therefore when the first user executes an online shoppingprocess, it may be difficult for the first user to determine a quantityof chicken necessary to feed his/her family of 4. Therefore, system 100may notify the first user that he/she typically purchases 2 pounds ofchicken. Alternatively, a difference between a typical amount of an itempurchased and a current amount of the item being purchased may bepresented to the user. For example, the first user places ¼ pound ofchicken in an online cart and during a checkout process, the user isnotified that he/she typically purchases 2 pounds of chicken (i.e., a 1¾pound difference). Additionally, thresholds may be enabled for differingtypes of terms. For example, if a user recently purchased 1 pound of aproduct X and he/she is currently viewing (e.g., on a Website) 15 ouncesof the product X, system 100 may present messages as follows: “Thisquantity is 15/16 of your last purchase”, “This quantity is about thesame as your last purchase”, etc. System 100 may further presentcomparative information based on what a specified Website typicallyoffers. For example, system 100 may present the following message: “Theabove quantity of product X includes the closest sized item that isavailable with respect to your purchase history”. System 100 may befederated across multiple e-commerce sites such that system 100 mayanalyze multiple previous transactions.

FIG. 2 illustrates an algorithm detailing a process flow enabled bysystem 100 of FIG. 1 for improving network technology associated withpresenting network based attributes for improving a network efficiencywith respect to network associated presentations, in accordance withembodiments of the present invention. Each of the steps in the algorithmof FIG. 2 may be enabled and executed in any order by a computerprocessor(s) executing computer code. Additionally, each of the steps inthe algorithm of FIG. 2 may be enabled and executed in combination byserver system 23, database systems 25, external systems 27, and hardwaredevice 14. In step 200, a user accessing specified network content isdetected. In step 202, the user is identified. The user may beidentified by, inter alia, analyzing a user account, analyzing usercredentials, analyzing a social media profile, analyzing user biometricdata, analyzing browser cookies, etc. In step 204, objects (e.g., itemsfor sale) being viewed by the user via a network associated with thenetwork content are detected. In step 208, prior associations betweenthe objects and the user are determined. Determining the priorassociations may include detecting that the user has previously accessedthe objects via the network (e.g., detected via sensors 18 of serversystem 23 of FIG. 1). Alternatively, determining the prior associationsmay include detecting that the user has previously accessed the objectsvia a structure associated with a specified geographical location (e.g.,detected via sensors 19 of external systems 27 of FIG. 1).

In step 210, attributes of the objects with respect to the priorassociations are determined. Attributes may include, inter alia,previous dimensions or weights associated with the objects, previoustypes associated with the objects, previous pricing with the objects,etc. The attributes may be associated with the prior associationsbetween the objects and the user with respect to a single entity (e.g.,a single Website or retail location) or multiple entities associatedwith the object. In step 212, the attributes are presented to the uservia a GUI. The attributes may be presented via, inter alia, highlightingthe objects via the GUI. In step 218, differences or similaritiesbetween the attributes (of step 210) and current attributes associatedwith the objects with respect to the user are determined and presentedto the user via the GUI. In step 220, self learning software code forexecuting future presentation processes associated with attributes ofthe objects with respect to the user is generated. In step 220, the selflearning software code is combined with source code of the networkresulting in modified source code of the network.

FIG. 3 illustrates an implementation example enabling system 100 of FIG.1 for improving graphical user interface (GUI) technology associatedwith network presentations, in accordance with embodiments of thepresent invention. The example presented in FIG. 3 illustrates a GUI 300comprising three differing product selections 301 a, 301 b, and 301 c.The example is initiated in response to a user accessing a Website forpurchasing his/her pet a new bag of dog treats via the Website. The userenters the following phrase to initiate a search for the dog treats:“chicken strips for dogs”. In response, the Website presents productselections 301 a, 301 b, and 301 c. Product selections 301 a, 301 b, and301 c present descriptions 302 a, 302 b, and 302 c, pricing/arrivaldates 304 a, 304 b, and 304 c, and quantity comparisons (with respect toprevious purchases) 305 a, 305 b, and 305 c associated (respectively)with product selections 301 a, 301 b, and 301 c. Quantity comparisons305 a, 305 b, and 305 c are determined by system 100 and presented tothe user for improving an online Web site based transaction.

FIG. 4 illustrates a computer system 90 (e.g., server system 23,database systems 25, and external systems 27, and hardware device 14 ofFIG. 1) used by or comprised by the system of FIG. 1 for improvingnetwork technology associated with presenting network based attributesfor improving a network efficiency with respect to network associatedpresentations, in accordance with embodiments of the present invention.

Aspects of the present invention may take the form of an entirelyhardware embodiment, an entirely software embodiment (includingfirmware, resident software, microcode, etc.) or an embodiment combiningsoftware and hardware aspects that may all generally be referred toherein as a “circuit,” “module,” or “system.”

The present invention may be a system, a method, and/or a computerprogram product. The computer program product may include a computerreadable storage medium (or media) having computer readable programinstructions thereon for causing a processor to carry out aspects of thepresent invention.

The computer readable storage medium can be a tangible device that canretain and store instructions for use by an instruction executiondevice. The computer readable storage medium may be, for example, but isnot limited to, an electronic storage device, a magnetic storage device,an optical storage device, an electromagnetic storage device, asemiconductor storage device, or any suitable combination of theforegoing. A non-exhaustive list of more specific examples of thecomputer readable storage medium includes the following: a portablecomputer diskette, a hard disk, a random access memory (RAM), aread-only memory (ROM), an erasable programmable read-only memory (EPROMor Flash memory), a static random access memory (SRAM), a portablecompact disc read-only memory (CD-ROM), a digital versatile disk (DVD),a memory stick, a floppy disk, a mechanically encoded device such aspunch-cards or raised structures in a groove having instructionsrecorded thereon, and any suitable combination of the foregoing. Acomputer readable storage medium, as used herein, is not to be construedas being transitory signals per se, such as radio waves or other freelypropagating electromagnetic waves, electromagnetic waves propagatingthrough a waveguide or other transmission media (e.g., light pulsespassing through a fiber-optic cable), or electrical signals transmittedthrough a wire.

Computer readable program instructions described herein can bedownloaded to respective computing/processing devices from a computerreadable storage medium or to an external computer or external storagedevice via a network, for example, the Internet, a local area network, awide area network and/or a wireless network. The network may comprisecopper transmission cables, optical transmission fibers, wirelesstransmission, routers, firewalls, switches, gateway computers and/oredge servers. A network adapter card or network interface in eachcomputing/processing apparatus receives computer readable programinstructions from the network and forwards the computer readable programinstructions for storage in a computer readable storage medium withinthe respective computing/processing device.

Computer readable program instructions for carrying out operations ofthe present invention may be assembler instructions,instruction-set-architecture (ISA) instructions, machine instructions,machine dependent instructions, microcode, firmware instructions,state-setting data, or either source code or object code written in anycombination of one or more programming languages, including an objectoriented programming language such as Smalltalk, C++, spark, R language,or the like, and conventional procedural programming languages, such asthe “C” programming language or similar programming languages. Thecomputer readable program instructions may execute entirely on theuser's computer, partly on the user's computer, as a stand-alonesoftware package, partly on the user's computer and partly on a remotecomputer or entirely on the remote computer or server. In the latterscenario, the remote computer may be connected to the user's computerthrough any type of network, including a local area network (LAN) or awide area network (WAN), or the connection may be made to an externalcomputer (for example, through the Internet using an Internet ServiceProvider). In some embodiments, electronic circuitry including, forexample, programmable logic circuitry, field-programmable gate arrays(FPGA), or programmable logic arrays (PLA) may execute the computerreadable program instructions by utilizing state information of thecomputer readable program instructions to personalize the electroniccircuitry, in order to perform aspects of the present invention.

Aspects of the present invention are described herein with reference toflowchart illustrations and/or block diagrams of methods, device(systems), and computer program products according to embodiments of theinvention. It will be understood that each block of the flowchartillustrations and/or block diagrams, and combinations of blocks in theflowchart illustrations and/or block diagrams, can be implemented bycomputer readable program instructions.

These computer readable program instructions may be provided to aprocessor of a general purpose computer, special purpose computer, orother programmable data processing device to produce a machine, suchthat the instructions, which execute via the processor of the computeror other programmable data processing device, create means forimplementing the functions/acts specified in the flowchart and/or blockdiagram block or blocks. These computer readable program instructionsmay also be stored in a computer readable storage medium that can directa computer, a programmable data processing device, and/or other devicesto function in a particular manner, such that the computer readablestorage medium having instructions stored therein comprises an articleof manufacture including instructions which implement aspects of thefunction/act specified in the flowchart and/or block diagram block orblocks.

The computer readable program instructions may also be loaded onto acomputer, other programmable data processing device, or other device tocause a series of operational steps to be performed on the computer,other programmable device or other device to produce a computerimplemented process, such that the instructions which execute on thecomputer, other programmable device, or other device implement thefunctions/acts specified in the flowchart and/or block diagram block orblocks.

The flowchart and block diagrams in the Figures illustrate thearchitecture, functionality, and operation of possible implementationsof systems, methods, and computer program products according to variousembodiments of the present invention. In this regard, each block in theflowchart or block diagrams may represent a module, segment, or portionof instructions, which comprises one or more executable instructions forimplementing the specified logical function(s). In some alternativeimplementations, the functions noted in the block may occur out of theorder noted in the figures. For example, two blocks shown in successionmay, in fact, be executed substantially concurrently, or the blocks maysometimes be executed in the reverse order, depending upon thefunctionality involved. It will also be noted that each block of theblock diagrams and/or flowchart illustration, and combinations of blocksin the block diagrams and/or flowchart illustration, can be implementedby special purpose hardware-based systems that perform the specifiedfunctions or acts or carry out combinations of special purpose hardwareand computer instructions.

The computer system 90 illustrated in FIG. 4 includes a processor 91, aninput device 92 coupled to the processor 91, an output device 93 coupledto the processor 91, and memory devices 94 and 95 each coupled to theprocessor 91. The input device 92 may be, inter alia, a keyboard, amouse, a camera, a touchscreen, etc. The output device 93 may be, interalia, a printer, a plotter, a computer screen, a magnetic tape, aremovable hard disk, a floppy disk, etc. The memory devices 94 and 95may be, inter alia, a hard disk, a floppy disk, a magnetic tape, anoptical storage such as a compact disc (CD) or a digital video disc(DVD), a dynamic random access memory (DRAM), a read-only memory (ROM),etc. The memory device 95 includes a computer code 97. The computer code97 includes algorithms (e.g., the algorithm of FIG. 2) for improvingnetwork technology associated with presenting network based attributesfor improving a network efficiency with respect to network associatedpresentations. The processor 91 executes the computer code 97. Thememory device 94 includes input data 96. The input data 96 includesinput required by the computer code 97. The output device 93 displaysoutput from the computer code 97. Either or both memory devices 94 and95 (or one or more additional memory devices Such as read only memorydevice 96) may include algorithms (e.g., the algorithm of FIG. 2) andmay be used as a computer usable medium (or a computer readable mediumor a program storage device) having a computer readable program codeembodied therein and/or having other data stored therein, wherein thecomputer readable program code includes the computer code 97. Generally,a computer program product (or, alternatively, an article ofmanufacture) of the computer system 90 may include the computer usablemedium (or the program storage device).

In some embodiments, rather than being stored and accessed from a harddrive, optical disc or other writeable, rewriteable, or removablehardware memory device 95, stored computer program code 84 (e.g.,including algorithms) may be stored on a static, nonremovable, read-onlystorage medium such as a Read-Only Memory (ROM) device 85, or may beaccessed by processor 91 directly from such a static, nonremovable,read-only medium 85. Similarly, in some embodiments, stored computerprogram code 97 may be stored as computer-readable firmware 85, or maybe accessed by processor 91 directly from such firmware 85, rather thanfrom a more dynamic or removable hardware data-storage device 95, suchas a hard drive or optical disc.

Still yet, any of the components of the present invention could becreated, integrated, hosted, maintained, deployed, managed, serviced,etc. by a service supplier who offers to improve network technologyassociated with presenting network based attributes for improving anetwork efficiency with respect to network associated presentations.Thus, the present invention discloses a process for deploying, creating,integrating, hosting, maintaining, and/or integrating computinginfrastructure, including integrating computer-readable code into thecomputer system 90, wherein the code in combination with the computersystem 90 is capable of performing a method for enabling a process forimproving network technology associated with presenting network basedattributes for improving a network efficiency with respect to networkassociated presentations. In another embodiment, the invention providesa business method that performs the process steps of the invention on asubscription, advertising, and/or fee basis. That is, a servicesupplier, such as a Solution Integrator, could offer to enable a processfor improving network technology associated with presenting networkbased attributes for improving a network efficiency with respect tonetwork associated presentations. In this case, the service supplier cancreate, maintain, support, etc. a computer infrastructure that performsthe process steps of the invention for one or more customers. In return,the service supplier can receive payment from the customer(s) under asubscription and/or fee agreement and/or the service supplier canreceive payment from the sale of advertising content to one or morethird parties.

While FIG. 4 shows the computer system 90 as a particular configurationof hardware and software, any configuration of hardware and software, aswould be known to a person of ordinary skill in the art, may be utilizedfor the purposes stated supra in conjunction with the particularcomputer system 90 of FIG. 4. For example, the memory devices 94 and 95may be portions of a single memory device rather than separate memorydevices.

Cloud Computing Environment

It is to be understood that although this disclosure includes a detaileddescription on cloud computing, implementation of the teachings recitedherein are not limited to a cloud computing environment. Rather,embodiments of the present invention are capable of being implemented inconjunction with any other type of computing environment now known orlater developed.

Cloud computing is a model of service delivery for enabling convenient,on-demand network access to a shared pool of configurable computingresources (e.g., networks, network bandwidth, servers, processing,memory, storage, applications, virtual machines, and services) that canbe rapidly provisioned and released with minimal management effort orinteraction with a provider of the service. This cloud model may includeat least five characteristics, at least three service models, and atleast four deployment models.

Characteristics are as follows:

On-demand self-service: a cloud consumer can unilaterally provisioncomputing capabilities, such as server time and network storage, asneeded automatically without requiring human interaction with theservice's provider.

Broad network access: capabilities are available over a network andaccessed through standard mechanisms that promote use by heterogeneousthin or thick client platforms (e.g., mobile phones, laptops, and PDAs).

Resource pooling: the provider's computing resources are pooled to servemultiple consumers using a multi-tenant model, with different physicaland virtual resources dynamically assigned and reassigned according todemand. There is a sense of location independence in that the consumergenerally has no control or knowledge over the exact location of theprovided resources but may be able to specify location at a higher levelof abstraction (e.g., country, state, or datacenter).

Rapid elasticity: capabilities can be rapidly and elasticallyprovisioned, in some cases automatically, to quickly scale out andrapidly released to quickly scale in. To the consumer, the capabilitiesavailable for provisioning often appear to be unlimited and can bepurchased in any quantity at any time.

Measured service: cloud systems automatically control and optimizeresource use by leveraging a metering capability at some level ofabstraction appropriate to the type of service (e.g., storage,processing, bandwidth, and active user accounts). Resource usage can bemonitored, controlled, and reported, providing transparency for both theprovider and consumer of the utilized service.

Service Models are as follows:

Software as a Service (SaaS): the capability provided to the consumer isto use the provider's applications running on a cloud infrastructure.The applications are accessible from various client devices through athin client interface such as a web browser (e.g., web-based e-mail).The consumer does not manage or control the underlying cloudinfrastructure including network, servers, operating systems, storage,or even individual application capabilities, with the possible exceptionof limited user-specific application configuration settings.

Platform as a Service (PaaS): the capability provided to the consumer isto deploy onto the cloud infrastructure consumer-created or acquiredapplications created using programming languages and tools supported bythe provider. The consumer does not manage or control the underlyingcloud infrastructure including networks, servers, operating systems, orstorage, but has control over the deployed applications and possiblyapplication hosting environment configurations.

Infrastructure as a Service (IaaS): the capability provided to theconsumer is to provision processing, storage, networks, and otherfundamental computing resources where the consumer is able to deploy andrun arbitrary software, which can include operating systems andapplications. The consumer does not manage or control the underlyingcloud infrastructure but has control over operating systems, storage,deployed applications, and possibly limited control of select networkingcomponents (e.g., host firewalls).

Deployment Models are as follows:

Private cloud: the cloud infrastructure is operated solely for anorganization. It may be managed by the organization or a third party andmay exist on-premises or off-premises.

Community cloud: the cloud infrastructure is shared by severalorganizations and supports a specific community that has shared concerns(e.g., mission, security requirements, policy, and complianceconsiderations). It may be managed by the organizations or a third partyand may exist on-premises or off-premises.

Public cloud: the cloud infrastructure is made available to the generalpublic or a large industry group and is owned by an organization sellingcloud services.

Hybrid cloud: the cloud infrastructure is a composition of two or moreclouds (private, community, or public) that remain unique entities butare bound together by standardized or proprietary technology thatenables data and application portability (e.g., cloud bursting forload-balancing between clouds).

A cloud computing environment is service oriented with a focus onstatelessness, low coupling, modularity, and semantic interoperability.At the heart of cloud computing is an infrastructure that includes anetwork of interconnected nodes.

Referring now to FIG. 5, illustrative cloud computing environment 50 isdepicted. As shown, cloud computing environment 50 includes one or morecloud computing nodes 10 with which local computing devices used bycloud consumers, such as, for example, personal digital assistant (PDA)or cellular telephone 54A, desktop computer 54B, laptop computer 54C,and/or automobile computer system 54N may communicate. Nodes 10 maycommunicate with one another. They may be grouped (not shown) physicallyor virtually, in one or more networks, such as Private, Community,Public, or Hybrid clouds as described hereinabove, or a combinationthereof. This allows cloud computing environment 50 to offerinfrastructure, platforms and/or software as services for which a cloudconsumer does not need to maintain resources on a local computingdevice. It is understood that the types of computing devices 54A, 54B,54C and 54N shown in FIG. 5 are intended to be illustrative only andthat computing nodes 10 and cloud computing environment 50 cancommunicate with any type of computerized device over any type ofnetwork and/or network addressable connection (e.g., using a webbrowser).

Referring now to FIG. 6, a set of functional abstraction layers providedby cloud computing environment 50 (see FIG. 5) is shown. It should beunderstood in advance that the components, layers, and functions shownin FIG. 6 are intended to be illustrative only and embodiments of theinvention are not limited thereto. As depicted, the following layers andcorresponding functions are provided:

Hardware and software layer 60 includes hardware and softwarecomponents. Examples of hardware components include: mainframes 61; RISC(Reduced Instruction Set Computer) architecture based servers 62;servers 63; blade servers 64; storage devices 65; and networks andnetworking components 66. In some embodiments, software componentsinclude network application server software 67 and database software 68.

Virtualization layer 70 provides an abstraction layer from which thefollowing examples of virtual entities may be provided: virtual servers71; virtual storage 72; virtual networks 73, including virtual privatenetworks; virtual applications and operating systems 74; and virtualclients 75.

In one example, management layer 80 may provide the functions describedbelow. Resource provisioning 81 provides dynamic procurement ofcomputing resources and other resources that are utilized to performtasks within the cloud computing environment. Metering and Pricing 82provide cost tracking as resources are utilized within the cloudcomputing environment, and billing or invoicing for consumption of theseresources. In one example, these resources may include applicationsoftware licenses. Security provides identity verification for cloudconsumers and tasks, as well as protection for data and other resources.User portal 83 provides access to the cloud computing environment forconsumers and system administrators. Service level management 84provides cloud computing resource allocation and management such thatrequired service levels are met. Service Level Agreement (SLA) planningand fulfillment 85 provide pre-arrangement for, and procurement of,cloud computing resources for which a future requirement is anticipatedin accordance with an SLA.

Workloads layer 89 provides examples of functionality for which thecloud computing environment may be utilized. Examples of workloads andfunctions which may be provided from this layer include: mapping andnavigation 91; software development and lifecycle management 92; virtualclassroom education delivery 93; data analytics processing 94;transaction processing 95; and for improving network technologyassociated with presenting network based attributes for improving anetwork efficiency with respect to network associated presentations 96.

While embodiments of the present invention have been described hereinfor purposes of illustration, many modifications and changes will becomeapparent to those skilled in the art. Accordingly, the appended claimsare intended to encompass all such modifications and changes as fallwithin the true spirit and scope of this invention.

What is claimed is:
 1. A network usage detection and presentationimprovement method comprising: detecting, by a processor of a hardwaredevice, a user accessing specified network content; identifying, by saidprocessor, said user; detecting, by said processor, objects being viewedby said user via a network associated with said network content;determining, by said processor accessing a database, prior associationsbetween said objects and said user, wherein said determining said priorassociations comprises detecting that said user has previously retrievedsaid objects from a physical structure at a specified geographicallocation; determining, by said processor, attributes of said objectswith respect to said prior associations; determining, by said processor,differences between said attributes and current attributes associatedwith said objects with respect to said user; determining, by saidprocessor, that said differences exceed a predetermined threshold value;and presenting, by said processor to said user via a graphical userinterface said attributes, an indication that said user has previouslyretrieved said objects from said physical structure, said differences,and an indication that said differences exceed said predeterminedthreshold value.
 2. The method of claim 1, wherein said identifyingcomprises analyzing: a user account, user credentials, a social mediaprofile, user biometric data, or browser cookies associated with saiduser with respect to said network.
 3. The method of claim 1, whereinsaid determining said prior associations comprises detecting that saiduser has previously accessed said objects via said network.
 4. Themethod of claim 1, wherein said attributes of said objects compriseattributes selected from the group consisting of previous dimensions orweights associated with said objects, previous types associated withsaid objects, and previous pricing with said objects.
 5. The method ofclaim 1, wherein said presenting comprises highlighting said objects viasaid GUI.
 6. The method of claim 1, further comprising: presenting, bysaid processor to said user via said GUI, similarities between saidattributes and current attributes associated with said objects withrespect to said user.
 7. The method of claim 1, wherein said attributesare associated with said prior associations between said objects andsaid user with respect to a single entity associated with said objects.8. The method of claim 1, wherein said attributes are associated withsaid prior associations between said objects and said user with respectto multiple entities associated with said objects.
 9. The method ofclaim 1, further comprising: providing at least one support service forat least one of creating, integrating, hosting, maintaining, anddeploying computer-readable code in the hardware device, said code beingexecuted by the computer processor to implement: said detecting saiduser, said identifying, said detecting said objects, said determiningsaid prior associations, said determining said attributes, and saidpresenting.
 10. A computer program product, comprising a computerreadable hardware storage device storing a computer readable programcode, said computer readable program code comprising an algorithm thatwhen executed by a processor of a hardware device implements a networkusage detection and presentation improvement method, said methodcomprising: detecting, by said processor, a user accessing specifiednetwork content; identifying, by said processor, said user; detecting,by said processor, objects being viewed by said user via a networkassociated with said network content; determining, by said processoraccessing a database, prior associations between said objects and saiduser, wherein said determining said prior associations comprisesdetecting that said user has previously retrieved said objects from aphysical structure at a specified geographical location; determining, bysaid processor, attributes of said objects with respect to said priorassociations; determining, by said processor, differences between saidattributes and current attributes associated with said objects withrespect to said user; determining, by said processor, that saiddifferences exceed a predetermined threshold value; and presenting, bysaid processor to said user via a graphical user interface saidattributes, an indication that said user has previously retrieved saidobjects from said physical structure, said differences, and anindication that said differences exceed said predetermined thresholdvalue.
 11. The computer program product of claim 10, wherein saididentifying comprises analyzing: a user account, user credentials, asocial media profile, user biometric data, or browser cookies associatedwith said user with respect to said network.
 12. The computer programproduct of claim 10, wherein said determining said prior associationscomprises detecting that said user has previously accessed said objectsvia said network.
 13. A hardware device comprising a processor coupledto a computer-readable memory unit, said memory unit comprisinginstructions that when executed by the processor implements a networkusage detection and presentation improvement method comprising:detecting, by said processor, a user accessing specified networkcontent; identifying, by said processor, said user; detecting, by saidprocessor, objects being viewed by said user via a network associatedwith said network content; determining, by said processor accessing adatabase, prior associations between said objects and said user, whereinsaid determining said prior associations comprises detecting that saiduser has previously retrieved said objects from a physical structure ata specified geographical location; determining, by said processor,attributes of said objects with respect to said prior associations;determining, by said processor, differences between said attributes andcurrent attributes associated with said objects with respect to saiduser; determining, by said processor, that said differences exceed apredetermined threshold value; and presenting, by said processor to saiduser via a graphical user interface (GUI), said attributes, anindication that said user has previously retrieved said objects fromsaid physical structure, said differences, and an indication that saiddifferences exceed said predetermined threshold value.